DIFFnet: Diffusion parameter mapping network generalized for input diffusion gradient schemes and bvalues

1 code implementation • 4 Feb 2021 • Juhung Park, Woojin Jung, Eun-Jung Choi, Se-Hong Oh, Dongmyung Shin, Hongjun An, Jongho Lee

In this study, a new deep neural network, referred to as DIFFnet, is developed to function as a generalized reconstruction tool of the diffusion-weighted signals for various gradient schemes and b-values.

Deep Reinforcement Learning Designed Shinnar-Le Roux RF Pulse using Root-Flipping: DeepRF_SLR

no code implementations • 19 Dec 2019 • Dongmyung Shin, Sooyeon Ji, Doohee Lee, Jieun Lee, Se-Hong Oh, Jong-Ho Lee

A novel approach of applying deep reinforcement learning to an RF pulse design is introduced.

reinforcement-learning Reinforcement Learning (RL)